--- title: "OpenSwarm vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/unohee-openswarm-vs-wshobson-agents" tools: ["unohee-openswarm", "wshobson-agents"] --- # OpenSwarm vs agents *GraphCanon updated Sep 20, 2026* ## Verdict Pick OpenSwarm if autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [OpenSwarm](https://github.com/unohee/OpenSwarm) reports 858 GitHub stars, 149 forks, and 3 open issues, last pushed Sep 20, 2026. [agents](https://sethhobson.com) has 40k stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [OpenSwarm's repository](https://github.com/unohee/OpenSwarm) and [agents's repository](https://github.com/wshobson/agents). | | [OpenSwarm](/tools/unohee-openswarm.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Autonomous AI dev team orchestrator powered by Claude Code CLI. | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 858 | 39,823 | | Forks | 149 | 4,246 | | Open issues | 3 | 12 | | Language | TypeScript | Python | | Adopt for | Autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Vector Databases | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenSwarm](/tools/unohee-openswarm.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 3 | 12 | | Stars delta | +36 (30d) | +895 (30d) | | Open issues delta | +2 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/unohee-openswarm/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: OpenSwarm - **Adopt for:** Autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose OpenSwarm if… - OpenSwarm is primarily TypeScript; agents is Python. - Tags unique to OpenSwarm: ai-agents, autonomous-agents, claude, claude-code. - Also covers Vector Databases. - OpenSwarm ships Docker support for self-hosted deployment. - OpenSwarm ships an MCP server manifest. - When you need an autonomous tool that leverages Claude Code CLI to organize your development tasks. ### Choose agents if… - agents is primarily Python; OpenSwarm is TypeScript. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - Also covers Developer Tools. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use OpenSwarm - Avoid if you are not currently utilizing Discord and Linear within your workflow since the integrations might not provide value without these tools. - Do not use if cognitive memory via vector databases is unnecessary or unpreferred for task management in development teams. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between OpenSwarm and agents? OpenSwarm: Autonomous AI dev team orchestrator powered by Claude Code CLI.. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenSwarm over agents? Choose OpenSwarm over agents when OpenSwarm is primarily TypeScript; agents is Python; Tags unique to OpenSwarm: ai-agents, autonomous-agents, claude, claude-code; Also covers Vector Databases; OpenSwarm ships Docker support for self-hosted deployment; OpenSwarm ships an MCP server manifest; When you need an autonomous tool that leverages Claude Code CLI to organize your development tasks. ### When should I choose agents over OpenSwarm? Choose agents over OpenSwarm when agents is primarily Python; OpenSwarm is TypeScript; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid OpenSwarm? Avoid if you are not currently utilizing Discord and Linear within your workflow since the integrations might not provide value without these tools. Do not use if cognitive memory via vector databases is unnecessary or unpreferred for task management in development teams. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is OpenSwarm or agents more popular on GitHub? agents has more GitHub stars (39,823 vs 858). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenSwarm and agents open source? Yes - both are open-source projects on GitHub (OpenSwarm: MIT, agents: MIT). ### Where can I find alternatives to OpenSwarm or agents? GraphCanon lists graph-backed alternatives at [OpenSwarm alternatives](/tools/unohee-openswarm/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([OpenSwarm markdown twin](/tools/unohee-openswarm/alternatives.md), [agents markdown twin](/tools/wshobson-agents/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/unohee-openswarm-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenSwarm or agents? OpenSwarm: Very active. agents: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for OpenSwarm and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenSwarm trust report](/tools/unohee-openswarm/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=unohee-openswarm`](/api/graphcanon/graph?tool=unohee-openswarm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_